Presentation
In this workshop we will learn the fundamentals of generative AI, experiment with tools applied to simulated case studies and work on the identification and prioritization of real use cases within the organization, with the objective of developing a structured and implementable adoption roadmap.
Small format with a maximum of 10 participants to ensure a personalized and interactive approach.
10 hours (4 sessions of 1.5h + 1 face-to-face workshop of 4h)
Who is the target audience?
- Management teams and C-suite.
- Managers and area managers.
*Previous experience with digital tools is recommended.
Understanding, Experimenting, Identifying, Elaborating
Understand the principles of generative AI, its tools and their application to the industry.
Experiment with AI tools applied to simulated case studies.
Identify and prioritize AI use cases within the organization evaluating benefits, costs and risks.
Develop a structured, prioritized and implementable AI adoption roadmap.
What is the course curriculum?
- Basics of AI: history, principles and models
- Prompt engineering
- AI tools: LLMs, voice, automation, imaging, video, no-code and productivity
- Examples applied to the sector
- Risks, governance and strategic decisions
- Organizational and cultural impact
- Case studies simulated with AI tools
- Identification of use cases in equipment
- Evaluation: impact, cost, data and risks
- Prioritization with benefit-effort matrix
- Preliminary AI roadmap
